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Hierarchical and Networked Vehicle Surveillance in ITS: A Survey.

, , , , , , , and . IEEE Trans. Intelligent Transportation Systems, 18 (1): 25-48 (2017)

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A survey of vision-based vehicle detection and tracking techniques in ITS., , , , and . ICVES, page 72-77. IEEE, (2013)AGV decision making subsystem based on modified Dempster-Shafer evidence theory and fuzzy logic., , , and . ICVES, page 169-174. IEEE, (2012)Visual vehicle tracking based on conditional random fields., , and . ITSC, page 3106-3111. IEEE, (2014)Dielectric Characteristics of Chrome Contaminated Soil., , , and . CSEE (1), volume 214 of Communications in Computer and Information Science, page 118-122. Springer, (2011)Hierarchical and Networked Vehicle Surveillance in ITS: A Survey., , , , , , , and . IEEE Trans. Intelligent Transportation Systems, 18 (1): 25-48 (2017)The Research of the Ecosystem on Green Construction., and . WHICEB, page 36. Association for Information Systems, (2013)Dynamics and capture strategy study of space rope-based end effectors., , , and . MFI, page 1-9. IEEE, (2014)Hierarchical and Networked Vehicle Surveillance in ITS: A Survey., , , , , , , and . IEEE Trans. Intelligent Transportation Systems, 16 (2): 557-580 (2015)Visual Tracking Based on Dynamic Coupled Conditional Random Field Model., , and . IEEE Trans. Intelligent Transportation Systems, 17 (3): 822-833 (2016)A Multi-view Learning Approach to Foreground Detection for Traffic Surveillance Applications., , , and . IEEE Trans. Veh. Technol., 65 (6): 4144-4158 (2016)